csv to python
import pandas as pd
df = pd.read_csv (r'Path where the CSV file is storedFile name.csv')
print (df)
csv to python
import pandas as pd
df = pd.read_csv (r'Path where the CSV file is storedFile name.csv')
print (df)
how to open csv file in python
import csv
with open('example.csv') as csvfile:
readCSV = csv.reader(csvfile, delimiter=',')
files python csv
import csv
with open('employee_birthday.txt') as csv_file:
csv_reader = csv.reader(csv_file, delimiter=',')
line_count = 0
for row in csv_reader:
if line_count == 0:
print(f'Column names are {", ".join(row)}')
line_count += 1
else:
print(f't{row[0]} works in the {row[1]} department, and was born in {row[2]}.')
line_count += 1
print(f'Processed {line_count} lines.')
csv reader python
import csv
with open('employee_birthday.txt', mode='r') as csv_file:
csv_reader = csv.DictReader(csv_file)
line_count = 0
for row in csv_reader:
if line_count == 0:
print(f'Column names are {", ".join(row)}')
line_count += 1
print(f't{row["name"]} works in the {row["department"]} department, and was born in {row["birthday month"]}.')
line_count += 1
print(f'Processed {line_count} lines.')
csv in python
import csv
csv.register_dialect('unixpwd', delimiter=':', quoting=csv.QUOTE_NONE)
with open('passwd', newline='') as f:
reader = csv.reader(f, 'unixpwd')
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